Crowdless AI Engine v2 — In Development

Stop predicting crowds.
Start preventing them.

The app that optimizes city flow and user experience in real time, providing personalized recommendations based on each user's preferences.

1st CASSINI Hackathon — Greece 2025
EU Qualified — European Finals
RL Policy Feedback Loop Real-time Control

Recommending alternatives at scale
creates new crowds.

Classic systems send everyone to the same “quiet” alternative — making it the next hotspot. Crowdless is built to be aware of its own impact.

A reinforcement learning loop.

Crowdless learns from the outcomes of its own recommendations, closing the loop so predictions get smarter over time.

Foot Traffic Data Candidate Places Location & filters App Tracking Data RL Model Reinforcement Learning Crowdness Risk Prediction Recommendations Smart & crowd-aware Observe & Learn feedback loop

Built for people.
Designed for cities.

For Travelers
  • No more second-crowd trap

    Get recommendations that are genuinely quiet — not somewhere we already sent hundreds of users.

  • Friction-aware routing

    Minimizes extra walking distance. Your time is factored into every recommendation.

  • Accurate arrivals

    Venues are at the occupancy we predicted — not over-capacity from our own recommendations.

For Cities & Operators
  • Reduced peak concentration

    Visitor flow is spread across venues and time windows, reducing hotspots.

  • Self-correcting system

    The RL policy learns when it over-recommends and backs off automatically.

  • Equitable traffic distribution

    Visitor load is shared fairly across local businesses — not funneled to the same few.

MR

Mariglena Reci

Marketing & Product Design

SR

Stelios Rotas

Backend Developer

AG

Alex Gkiafis

UI/UX Developer

PT

Panagiotis Thivaios

Business Manager

TE

Theodoros Exarchos

Backend & Research

Ready to bring intelligent
flow to your city?

Talk to the Crowdless team about pilots, partnerships, and integrations.

Contact the Team